added docker file and question examples

.dockerignore

@@ -0,0 +1,9 @@
+__pycache__/
+*.pyc
+*.pyo
+*.pyd
+*.db
+.env
+.vscode/
+.idea/
+.env

.gitignore

@@ -1 +1,9 @@
+__pycache__/
+*.pyc
+*.pyo
+*.pyd
+*.db
+.env
+.vscode/
+.idea/
 .env

app/streamlitApp.py

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+import os 
+import sys
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
+import streamlit as st
+from src.cot import generate_answer
+from src.consistency import self_consistent_answer
+from src.examples import DEFAULT_EXAMPLES
+from dotenv import load_dotenv
+load_dotenv()
+
+st.set_page_config(page_title="Reasonify")
+st.title("Reasoning Playground")
+
+st.sidebar.header("Settings")
+mode = st.sidebar.selectbox("Prompting mode", ["Base", "Chain Of Thought"])
+model_id = st.sidebar.selectbox("Model",["llama3-8b-8192"])
+temperature = st.sidebar.slider("Temperature", 0.1, 0.5, 0.7, step=0.1)
+num_paths = st.sidebar.selectbox("Number of Reasoning Paths", [1,3,5])
+
+zero_shot = False
+if mode == "Chain Of Thought":
+    zero_shot = st.sidebar.selectbox("Zero-Shot prompting", [False, True], index=0)
+
+    if not zero_shot:
+        st.sidebar.markdown("### Few-Shot Examples")
+
+        examples = []
+        for i in range(3):
+            with st.sidebar.expander(f"Example {i+1}", expanded=(i == 0)):
+                default_q, default_a = DEFAULT_EXAMPLES[i]
+                q_edit = st.text_area(f"Question {i+1}", default_q, key=f"q_{i}")
+                a_edit = st.text_area(f"Answer {i+1}", default_a, key=f"a_{i}")
+                examples.append((q_edit, a_edit))
+    else:
+        examples = []
+
+st.markdown("### Enter your question")
+question = st.text_input("Ask something...")
+
+reason, ans = None, None
+
+if st.button("Generate"):
+    if question.strip():
+        st.spinner("Thinking...")
+
+        mode = "cot" if mode == "Chain Of Thought" else "base"
+
+        if mode == "base":
+            ans = generate_answer(question, model_id, temperature)
+
+        elif mode == "cot" and num_paths == 1:
+
+            if not zero_shot:
+                reason, ans = generate_answer(question=question,
+                                            model_id=model_id, 
+                                            temperature=temperature, 
+                                            max_tokens=200, 
+                                            mode="cot", 
+                                            exampler=DEFAULT_EXAMPLES,
+                                            zero_shot=zero_shot
+                                            )
+            else:
+                reason, ans = generate_answer(question=question, 
+                                              model_id=model_id, 
+                                              temperature=temperature, 
+                                              max_tokens=200, 
+                                              mode="cot", 
+                                              zero_shot=zero_shot)
+        
+        else:
+            reason, ans = self_consistent_answer(question=question, 
+                                                 model_id=model_id, 
+                                                 temperature=temperature, 
+                                                 max_tokens=200, 
+                                                 exampler=DEFAULT_EXAMPLES, 
+                                                 num_samples=num_paths
+                                                 )
+
+
+        st.markdown("##  Output")
+
+        if mode == "base":
+            st.success(f"**Answer:** {ans}")
+        elif mode == "cot" and num_paths == 1:
+            with st.expander(f"Final Answer: {ans}"):
+                st.write(reason)
+        else:
+            st.markdown("### Self-Consistent Reasoning Paths")
+            for i, (r, a) in enumerate(zip(reason, ans)):
+                with st.expander(f"Path {i+1}: {a.strip()}"):
+                    st.write(r.strip())
+            
+            st.success(f"**Final Answer (most common):** {max(set(ans), key=ans.count)}")
+    else:
+        st.warning("Please enter a question.")
+
+
+

dockerfile

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+FROM python:3.10-slim
+
+WORKDIR /app
+
+COPY requirements.txt .
+
+RUN pip install --no-cache-dir -r requirements.txt
+
+COPY . .
+
+EXPOSE 8501
+
+CMD ["streamlit", "run", "app/streamlitApp.py", "--server.port=8501", "--server.address=0.0.0.0"]

src/examples.py

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+DEFAULT_EXAMPLES = [
+    (
+        "If A is twice B, and B is 3, what is A?",
+        "Let’s think step by step:\nB = 3\nA = 2 * B = 6\nAnswer: 6"
+    ),
+    (
+        "If today is Monday, what day will it be in 3 days?",
+        "Let’s think step by step:\nMonday + 3 = Thursday\nAnswer: Thursday"
+    ),
+    (
+        "If a car travels 60 km in 2 hours, what is the speed?",
+        "Let’s think step by step:\nSpeed = Distance / Time = 60 / 2 = 30 km/h\nAnswer: 30"
+    ),
+]