WIP - UI, firecrawl, long-form - V0.5
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@@ -98,3 +98,29 @@ def write_blog_from_keywords(search_keywords, url=None):
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st.image(generated_image_filepath)
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st.markdown(f"{blog_markdown_str}")
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status.update(label=f"Finished, Review & Use your Original Content Below: {saved_blog_to_file}", state="complete")
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# Display options below the content
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col1, col2, col3, col4, col5 = st.columns(5)
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if col1.button('Copy'):
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pyperclip.copy(blog_markdown_str)
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st.success("Text copied to clipboard!")
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if col2.button('Rephrase'):
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rephrased_text = rephrase_text(blog_markdown_str)
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st.markdown(rephrased_text)
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if col3.button('Change Tone'):
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tone = st.selectbox("Select Tone", ["Formal", "Casual", "Professional"])
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if st.button("Apply Tone"):
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toned_text = change_tone(blog_markdown_str, tone)
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st.markdown(toned_text)
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if col4.button('Make Shorter'):
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shorter_text = make_shorter(blog_markdown_str)
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st.markdown(shorter_text)
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if col5.button('Translate'):
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language = st.selectbox("Select Language", ["Spanish", "French", "German"])
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if st.button("Translate"):
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translated_text = translate_text(blog_markdown_str, language)
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st.markdown(translated_text)
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@@ -126,13 +126,13 @@ def long_form_generator(content_keywords):
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generation_config = {
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"temperature": 0.6,
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"top_p": 1,
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"max_output_tokens": 4096,
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"max_output_tokens": 8096,
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}
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genai.configure(api_key=os.getenv('GEMINI_API_KEY'))
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# Initialize the generative model
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model = genai.GenerativeModel('gemini-pro', generation_config=generation_config)
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model_pro = genai.GenerativeModel('gemini-1.5-flash-latest', generation_config=generation_config)
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#model = genai.GenerativeModel('gemini-pro', generation_config=generation_config)
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model_pro = genai.GenerativeModel('gemini-1.5-flash', generation_config=generation_config)
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# Do SERP web research for given keywords to generate title and outline.
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web_research_result, g_titles = do_google_serp_search(content_keywords)
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@@ -185,7 +185,7 @@ def long_form_generator(content_keywords):
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try:
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logger.info(f"Starting to write on the outline introduction.")
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draft = starting_draft
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continuation = generate_with_retry(model, continuation_prompt.format(
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continuation = generate_with_retry(model_pro, continuation_prompt.format(
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content_title=content_title,
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content_outline=content_outline,
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content_text=draft,
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@@ -203,7 +203,7 @@ def long_form_generator(content_keywords):
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logger.info(f"Writing in progress... Current draft length: {len(draft)} characters")
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status.update(label=f"Writing in progress... Current draft length: {len(draft)} characters")
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search_terms = f"""
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I will provide you with blog outline, your task is to read the outline & return 3 google search keywords.
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I will provide you with blog outline, your task is to read the outline & return 8 google search keywords.
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Your response will be used to do web research for writing on the given outline.
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Do not explain your response, provide 8 google search sentences encompassing the given content outline.
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Provide the search term results as comma separated values.\n\n
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@@ -214,30 +214,29 @@ def long_form_generator(content_keywords):
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status.update(label=f"Search terms from written draft: {search_words}")
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while 'IAMDONE' not in continuation:
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try:
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#web_research_result, m_titles = do_metaphor_ai_research(content_keywords)
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str_list = re.split(r',\s*', search_words)
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# Strip quotes from each element
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str_list = [s.strip('\'"') for s in str_list]
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for search_term in str_list:
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web_research_result, m_titles, t_titles = do_tavily_ai_search(search_term, max_results=5)
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continuation = generate_with_retry(model, continuation_prompt.format(
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#web_research_result, m_titles = do_metaphor_ai_research(content_keywords)
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str_list = re.split(r',\s*', search_words)
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# Strip quotes from each element
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str_list = [s.strip('\'"') for s in str_list]
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for search_term in str_list:
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web_research_result, m_titles, t_titles = do_tavily_ai_search(search_term, max_results=5)
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try:
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continuation = generate_with_retry(model_pro, continuation_prompt.format(
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content_title=content_title,
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content_outline=content_outline,
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content_text=draft,
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web_research_result=web_research_result,
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writing_guidelines=writing_guidelines)).text
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draft += '\n\n' + continuation
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logger.info(f"Writing in progress... Current draft length: {len(draft)} characters")
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status.update(label=f"Writing in progress... Current draft length: {len(draft)} characters")
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# At this point, the context is little stale. We should more web research on
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# related queries as per the content outline, to augment the LLM context.
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except Exception as err:
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st.error(f"Failed to continually write the Essay: {err}")
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logger.error(f"Failed to continually write the Essay: {err}")
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return
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draft += '\n\n' + continuation
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logger.info(f"Writing in progress... Current draft length: {len(draft)} characters")
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status.update(label=f"Writing in progress... Current draft length: {len(draft)} characters")
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# At this point, the context is little stale. We should more web research on
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# related queries as per the content outline, to augment the LLM context.
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except Exception as err:
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st.error(f"Failed to continually write the Essay: {err}")
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logger.error(f"Failed to continually write the Essay: {err}")
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return
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# Remove 'IAMDONE' and print the final story
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final = draft.replace('IAMDONE', '').strip()
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