Create app.py

app.py

@@ -0,0 +1,103 @@
+import os
+import streamlit as st
+from groq import Groq
+from fpdf import FPDF  # For PDF generation
+
+api = "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"
+
+# --- Groq API Setup ---
+client = Groq(api_key=api)
+
+# Function to get code from StarCoder model
+def generate_code(summary, language):
+    try:
+        chat_completion = client.chat.completions.create(
+            messages=[
+                {
+                    "role": "user",
+                    "content": f"Generate efficient {language} code for the following task without any explanations or comments: {summary}",
+                }
+            ],
+            model="llama3-8b-8192",  # Specify the model
+            stream=False,
+        )
+        generated_code = chat_completion.choices[0].message.content
+        return generated_code
+    except Exception as e:
+        st.error(f"Error generating code: {e}")
+        return ""
+
+# Function to explain the generated code using Llama
+def explain_code(code):
+    try:
+        chat_completion = client.chat.completions.create(
+            messages=[
+                {
+                    "role": "user",
+                    "content": f"Explain the following code descriptively and attractively so the user can easily understand it:\n\n{code}",
+                }
+            ],
+            model="llama3-8b-8192",
+            stream=False,
+        )
+        explanation = chat_completion.choices[0].message.content
+        return explanation
+    except Exception as e:
+        st.error(f"Error explaining code: {e}")
+        return ""
+
+# Function to save code as a PDF
+def save_code_as_pdf(code, file_name="generated_code.pdf"):
+    pdf = FPDF()
+    pdf.add_page()
+    pdf.set_font("Arial", size=12)
+    pdf.multi_cell(0, 10, code)
+    pdf.output(file_name)
+    return file_name
+
+# --- Streamlit Interface ---
+st.set_page_config(page_title="Generative AI Code Generator", page_icon="🧑‍💻", layout="wide")
+
+# Page Title
+st.title("🚀 Generative AI Code Generator Using StarCoder")
+
+# Input Fields
+summary = st.text_area("📝 Enter the Task Summary", "For example: Create a function to add two numbers.")
+language = st.selectbox("🌐 Select Programming Language", ["Python", "Java", "JavaScript", "C++"])
+
+# Generate Code Button
+if st.button("Generate Code"):
+    if summary:
+        generated_code = generate_code(summary, language)
+
+        if generated_code:
+            st.subheader(f"✨ Generated {language} Code:")
+            st.code(generated_code, language=language.lower())
+
+            # Code Modification Section
+            modified_code = st.text_area("✏️ Modify the Code (Optional):", value=generated_code, height=200)
+
+            # Explanation Button
+            if st.button("Explain Code"):
+                explanation = explain_code(generated_code)
+                st.subheader("📖 Code Explanation:")
+                st.write(explanation)
+
+            # Download Code as PDF
+            if st.button("Download Code as PDF"):
+                pdf_path = save_code_as_pdf(modified_code)  # Use modified code if edited
+                with open(pdf_path, "rb") as pdf_file:
+                    st.download_button(
+                        label="📥 Download PDF",
+                        data=pdf_file,
+                        file_name="generated_code.pdf",
+                        mime="application/pdf",
+                    )
+
+# New Code Button
+if st.button("Generate New Code"):
+    st.rerun()  # Refresh the page to clear inputs
+
+# Footer Information
+st.markdown("---")
+st.write("🌟 Powered by **Streamlit**, **Groq**, and **StarCoder** | Deployed on Hugging Face")