Create app.py

app.py

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+import streamlit as st
+from langchain.prompts.few_shot import FewShotChatMessagePromptTemplate
+from langchain.prompts.example_selector import LengthBasedExampleSelector
+
+# Example dialogues + summaries
+examples = [
+    {
+        "input": "Doctor: What symptoms are you experiencing?\nPatient: I have a sore throat and runny nose.",
+        "output": "The patient reports sore throat and runny nose."
+    },
+    {
+        "input": "Patient: I've been feeling dizzy since morning.\nDoctor: Did you eat anything unusual?\nPatient: No, just normal food.",
+        "output": "The patient has dizziness but no unusual food intake."
+    }
+]
+
+# Create Few-Shot Prompt Template
+prompt = FewShotChatMessagePromptTemplate.from_examples(
+    examples=examples,
+    example_selector=LengthBasedExampleSelector(examples=examples, max_length=100),
+    input_variables=["input"],
+    prefix="You are a medical assistant that summarizes doctor-patient conversations. Examples:",
+    suffix="Now summarize this conversation:\n{input}"
+)
+
+# Streamlit UI
+st.title("💬 Few-Shot Summarizer (No Model)")
+
+input_text = st.text_area("Paste your medical conversation here:")
+
+if st.button("Generate Prompt"):
+    if input_text.strip():
+        messages = prompt.format_messages(input=input_text)
+
+        st.subheader("📋 Prompt Generated:")
+        for msg in messages:
+            st.markdown(f"**{msg.type.upper()}**:\n```\n{msg.content}\n```")
+
+        st.info("⚠️ This is just a prompt, not an actual summary.")
+    else:
+        st.warning("Please enter some conversation text.")