Update app.py
Browse files
app.py
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@@ -4,8 +4,9 @@ import os
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from fpdf import FPDF
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from io import BytesIO
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import textwrap
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# Set page layout and styling
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st.set_page_config(page_title="Pro Competitive Analysis", layout="centered")
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st.markdown("""
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<style>
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# App header
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st.title("💼 Competitive Analysis Pro")
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st.markdown("Generate expert-level comparisons
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# Set Hugging Face API key
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os.environ["HUGGINGFACEHUB_API_TOKEN"] = st.secrets["HF_TOKEN"]
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#
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llm = HuggingFaceHub(
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repo_id="tiiuae/falcon-7b-instruct",
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model_kwargs={"temperature": 0.7, "max_new_tokens": 1024}
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)
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#
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product1 = st.text_area("🧩 Product/Service 1", height=200, placeholder="e.g., iPhone 13")
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product2 = st.text_area("🧩 Product/Service 2", height=200, placeholder="e.g., iPhone 14")
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#
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if st.button("🔍 Run Competitive Analysis", use_container_width=True):
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if not product1 or not product2:
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st.warning("Please enter
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else:
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#
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system_instruction = """
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You are a professional market analyst trained to evaluate two competing products or services.
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Write an in-depth comparative analysis in **markdown format**, covering:
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1. Feature-by-Feature Comparison:
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- Hardware specifications
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- Design and display
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- Performance (CPU, GPU, etc.)
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@@ -87,68 +91,50 @@ Write an in-depth comparative analysis in **markdown format**, covering:
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⚠️ Do NOT include or reference these instructions in your output. Return only the clean markdown report.
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"""
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user_input = f"""
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Product 1:
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{product1}
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Product 2:
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{product2}
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"""
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final_input = system_instruction.strip() + "\n\n" + user_input.strip()
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# Run the LLM
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with st.spinner("🧠 Generating detailed analysis..."):
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result = llm(final_input)
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# Display markdown result
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st.markdown("### 📊 Expert Comparison")
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st.markdown(result)
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#
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# Download
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st.download_button(
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label="📥 Download Report as PDF",
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data=pdf_output,
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file_name="competitive_analysis_report.pdf",
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mime="application/pdf",
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use_container_width=True
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)
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from fpdf import FPDF
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from io import BytesIO
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import textwrap
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import re
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# Set page layout and dark theme styling
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st.set_page_config(page_title="Pro Competitive Analysis", layout="centered")
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st.markdown("""
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<style>
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# App header
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st.title("💼 Competitive Analysis Pro")
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st.markdown("Generate expert-level comparisons between two products or services, with SWOT, insights, and business recommendations.")
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# Set Hugging Face API key (securely via Secrets)
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os.environ["HUGGINGFACEHUB_API_TOKEN"] = st.secrets["HF_TOKEN"]
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# LLM Setup
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llm = HuggingFaceHub(
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repo_id="tiiuae/falcon-7b-instruct",
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model_kwargs={"temperature": 0.7, "max_new_tokens": 1024}
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)
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# Input Fields
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product1 = st.text_area("🧩 Product/Service 1", height=200, placeholder="e.g., iPhone 13")
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product2 = st.text_area("🧩 Product/Service 2", height=200, placeholder="e.g., iPhone 14")
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# Button logic
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if st.button("🔍 Run Competitive Analysis", use_container_width=True):
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if not product1 or not product2:
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st.warning("Please enter both product descriptions.")
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else:
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# LLM prompt (not printed)
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system_instruction = """
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You are a professional market analyst trained to evaluate two competing products or services.
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Write an in-depth comparative analysis in **markdown format**, covering:
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1. Feature-by-Feature Comparison:
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- For both Product 1 and Product 2 separately
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- Hardware specifications
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- Design and display
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- Performance (CPU, GPU, etc.)
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⚠️ Do NOT include or reference these instructions in your output. Return only the clean markdown report.
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"""
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user_input = f"\n\nProduct 1:\n{product1}\n\nProduct 2:\n{product2}"
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final_input = system_instruction.strip() + user_input
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with st.spinner("🧠 Generating detailed analysis..."):
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result = llm(final_input)
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st.markdown("### 📊 Expert Comparison")
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st.markdown(result)
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# Clean markdown & sanitize output
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clean_text = result.replace("**", "").replace("*", "").replace("`", "").replace("#", "").replace("•", "-")
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# PDF Generation (safe against long unbreakable lines)
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pdf = FPDF()
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pdf.add_page()
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pdf.set_font("Arial", size=12)
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pdf.set_auto_page_break(auto=True, margin=15)
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def safe_line_split(text, width=100):
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return re.findall(r'.{1,%d}' % width, text) if len(text) > width else [text]
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for line in clean_text.split("\n"):
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line = line.strip()
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if not line:
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pdf.ln(5)
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continue
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try:
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wrapped_lines = textwrap.wrap(line, width=100)
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if not wrapped_lines:
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wrapped_lines = safe_line_split(line)
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for wl in wrapped_lines:
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pdf.multi_cell(0, 10, wl)
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except Exception as e:
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print(f"⚠️ Skipped line due to error: {line[:50]}...")
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pdf_output = BytesIO()
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pdf.output(pdf_output)
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pdf_output.seek(0)
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# Streamlit download button
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st.download_button(
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label="📥 Download Report as PDF",
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data=pdf_output,
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file_name="competitive_analysis_report.pdf",
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mime="application/pdf",
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use_container_width=True
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)
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