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app.py

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+import streamlit as st
+import together
+import PyPDF2
+import io
+
+# Initialize Together AI client
+client=together.Together(api_key="8969731d768db64b1406eaa5e70bae31bcb4cbf57719295a03aed2ebfa45fe51")
+
+def read_pdf(pdf_file):
+    """Extract text from uploaded PDF file"""
+    if pdf_file is not None:
+        pdf_reader = PyPDF2.PdfReader(io.BytesIO(pdf_file.getvalue()))
+        text = ""
+        for page in pdf_reader.pages:
+            text += page.extract_text()
+        return text
+    return None
+
+def get_ai_response(prompt):
+    """Get response from Together AI API"""
+    response = client.chat.completions.create(
+        # prompt=prompt,
+        model="meta-llama/Llama-3.2-11B-Vision-Instruct-Turbo",  # or your preferred model
+        messages=[{"role": "user", "content": prompt}],
+        max_tokens=1024,
+        temperature=0.7,
+    )
+    print(response)
+    return response.choices[0].message.content
+
+def create_prompt(resume_text, job_description, user_question):
+    """Create prompt based on available information"""
+    prompt = "You are a helpful career advisor. "
+    
+    if resume_text:
+        prompt += f"\nResume Content:\n{resume_text}\n"
+    
+    if job_description:
+        prompt += f"\nJob Description:\n{job_description}\n"
+    
+    prompt += f"\nUser Question: {user_question}\n"
+    prompt += "\nPlease provide a detailed and helpful response: "
+    
+    return prompt
+
+# Streamlit UI
+st.title("Resume Bot Assistant")
+
+# Initialize session state for chat history
+if 'messages' not in st.session_state:
+    st.session_state.messages = []
+
+# Sidebar
+with st.sidebar:
+    st.header("Upload Documents")
+    
+    # Resume upload
+    resume_file = st.file_uploader("Upload Resume (PDF)", type=['pdf'])
+    resume_text = None
+    if resume_file:
+        resume_text = read_pdf(resume_file)
+        st.success("Resume uploaded successfully!")
+    else:
+        st.warning("Please upload your resume")
+    
+    # Job description input
+    job_description = st.text_area("Enter Job Description")
+
+# Display chat messages
+for message in st.session_state.messages:
+    with st.chat_message(message["role"]):
+        st.markdown(message["content"])
+
+# User input
+if prompt := st.chat_input("Ask a question about your resume or the job..."):
+    # Add user message to chat history
+    st.session_state.messages.append({"role": "user", "content": prompt})
+    with st.chat_message("user"):
+        st.markdown(prompt)
+    
+    # Check if resume is uploaded
+    if not resume_text:
+        with st.chat_message("assistant"):
+            error_message = "Please upload your resume first to get personalized advice."
+            st.session_state.messages.append({"role": "assistant", "content": error_message})
+            st.markdown(error_message)
+    else:
+        # Generate AI response
+        with st.chat_message("assistant"):
+            with st.spinner("Thinking..."):
+                # Create full prompt with context
+                full_prompt = create_prompt(resume_text, job_description, prompt)
+                response = get_ai_response(full_prompt)
+                
+                # Add assistant message to chat history
+                st.session_state.messages.append({"role": "assistant", "content": response})
+                st.markdown(response)
+
+# Add a reset button
+if st.button("Reset Chat"):
+    st.session_state.messages = []
+    st.experimental_rerun()

requirements.txt

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+streamlit
+togeather
+pyPDF2