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+web: streamlit run main.py

README.md

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----
-title: DotNetJavaCodeConversion
-emoji: 📚
-colorFrom: green
-colorTo: yellow
-sdk: streamlit
-sdk_version: 1.44.1
-app_file: app.py
-pinned: false
----
+# 🦄 The Enchanted Code Converter: .NET to Java
+
+A Streamlit app that uses Hugging Face models to convert C# code into Java code using LLMs.
+
+## How it Works
+
+1. Choose a model (Mistral, Mixtral, CodeGen2).
+2. Paste your C# code.
+3. Let the model convert it to Java using magic ✨
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+## Secrets
+
+This app uses the `HF_API_KEY` stored in Hugging Face Secrets. Go to:
+- `Settings > Secrets > Add new secret`
+- Key: `HF_API_KEY`
+- Value: *your Hugging Face token*
+
+## Made with ❤️ by Aarvii (CEO AAYUVV)
+
+---

app.py

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+import streamlit as st
+from backend.model_router import route_model_conversion
+
+st.set_page_config(
+    page_title="C# to Java with Large Language Models 🌈",
+    layout="wide",
+    page_icon="✨"
+)
+
+st.markdown("""
+    <div style="text-align: center; padding: 20px 10px;">
+        <h1 style="color: #6C63FF; font-size: 3em;">🦄 The Enchanted Code Converter: .NET to Java</h1>
+        <p style="color: #999; font-size: 1.2em;">✨ "Code it like a CEO. Convert it like a GEN_AI Innovator." ✨</p>
+        <p style="color: #FF69B4;">The cutest way to switch your code from serious C# to jazzy Java 💃</p>
+    </div>
+""", unsafe_allow_html=True)
+
+st.markdown("<hr style='border-top: 2px dashed #eee;'>", unsafe_allow_html=True)
+
+st.subheader("🪄 Choose your Magic Model:")
+model_option = st.selectbox(
+    "✨ Yours model box:",
+    options=[
+        "mistralai/Mistral-7B-Instruct-v0.2",
+        "mistralai/Mixtral-8x7B-Instruct-v0.1",
+        "Salesforce/codegen2-1B"
+    ],
+    index=0
+)
+
+st.markdown("#### 🖊️ Paste your <span style='color:#6C63FF;'>C# Code</span> below:", unsafe_allow_html=True)
+cs_code = st.text_area("📥 Your C# Code", height=250, placeholder="// Type some cool C# code...")
+
+convert = st.button("✨ Convert with LLM's ✨")
+
+if convert:
+    with st.spinner("🧠 PowerBrain is thinking... sprinkling AI dust... 💭✨"):
+        result = route_model_conversion(model_option, cs_code)
+        if result:
+            st.balloons()
+            st.success("💃 Tadaa! Here's your Java code, boss!")
+            st.code(result, language="java")
+        else:
+            st.error("🚨 Oopsie daisy! Something went wrong... maybe the code got shy? 🥺")
+
+st.markdown("""
+    <hr style="border-top: 2px solid #eee;">
+    <div style='text-align: center; color: #aaa; font-size: 0.9em;'>
+        🛠️ Made with Large Language Models by <br>
+        <span style="font-size: 1.3em; font-weight: bold; color: #6C63FF;">Apoorva Vutukuru</span> ✨ <br>
+        <i>Crafted for GEN_AI Innovators everywhere!</i>
+    </div>
+""", unsafe_allow_html=True)

backend/codegen2.py

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+import streamlit as st
+from huggingface_hub import InferenceClient
+
+HF_TOKEN = st.secrets["HF_API_KEY"]
+
+def convert_with_codegen2(code):
+    prompt = f"Convert the following C# code to Java:\n\n{code}\n\nJava Code:"
+
+    try:
+        client = InferenceClient("bigcode/starcoder", token=HF_TOKEN)
+        response = client.text_generation(prompt, max_new_tokens=512, temperature=0.3, top_p=0.95)
+        return response.strip()
+    except Exception as e1:
+        print("❌ StarCoder failed:", e1)
+
+    try:
+        client = InferenceClient("deepseek-ai/deepseek-coder-1.3b-instruct", token=HF_TOKEN)
+        response = client.text_generation(prompt, max_new_tokens=512, temperature=0.3, top_p=0.95)
+        return "[⚠️ Using fallback: DeepSeek-Coder]\n" + response.strip()
+    except Exception as e2:
+        print("❌ DeepSeek-Coder failed:", e2)
+
+    try:
+        client = InferenceClient("Salesforce/codegen2-1B", token=HF_TOKEN)
+        response = client.text_generation(prompt, max_new_tokens=512, temperature=0.3, top_p=0.95)
+        return "[⚠️ Using fallback: CodeGen2-1B]\n" + response.strip()
+    except Exception as e3:
+        print("❌ CodeGen2-1B failed:", e3)
+
+    return "💥 All model servers are currently unavailable. Please try again later!"

backend/mistral7b.py

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+import streamlit as st
+from huggingface_hub import InferenceClient
+
+HF_TOKEN = st.secrets["HF_API_KEY"]
+
+def convert_with_mistral_7b(code):
+    client = InferenceClient("mistralai/Mistral-7B-Instruct-v0.2", token=HF_TOKEN)
+    prompt = f"Convert the following C# code to Java:\n\n{code}\n\nJava Code:"
+    response = client.text_generation(
+        prompt, 
+        max_new_tokens=512, 
+        temperature=0.3, 
+        top_p=0.95
+    )
+    return response.strip()

backend/mistrallarge2.py

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+import streamlit as st
+from huggingface_hub import InferenceClient
+
+HF_TOKEN = st.secrets["HF_API_KEY"]
+
+def convert_with_mistral_large2(code):
+    client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1", token=HF_TOKEN)
+    prompt = f"Convert the following C# code to Java:\n\n{code}\n\nJava Code:"
+    response = client.text_generation(
+        prompt,
+        max_new_tokens=512,
+        temperature=0.3,
+        top_p=0.95
+    )
+    return response.strip()

backend/model_router.py

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+from backend.mistral7b import convert_with_mistral_7b
+from backend.mistrallarge2 import convert_with_mistral_large2
+from backend.codegen2 import convert_with_codegen2
+
+def route_model_conversion(model_name, cs_code):
+    if "Mistral-7B" in model_name:
+        return convert_with_mistral_7b(cs_code)
+    elif "Mixtral" in model_name:
+        return convert_with_mistral_large2(cs_code)
+    elif "codegen2" in model_name:
+        return convert_with_codegen2(cs_code)
+    else:
+        return "Unsupported model selected."

requirements.txt

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+altair==5.5.0
+attrs==25.1.0
+blinker==1.9.0
+cachetools==5.5.2
+certifi==2025.1.31
+charset-normalizer==3.4.1
+click==8.1.8
+colorama==0.4.6
+filelock==3.18.0
+fsspec==2025.3.2
+gitdb==4.0.12
+GitPython==3.1.44
+huggingface-hub==0.30.2
+idna==3.10
+Jinja2==3.1.6
+joblib==1.4.2
+jsonschema==4.23.0
+jsonschema-specifications==2024.10.1
+markdown-it-py==3.0.0
+MarkupSafe==3.0.2
+mdurl==0.1.2
+narwhals==1.29.1
+nltk==3.9.1
+numpy==1.26.4
+packaging==23.2
+pandas==2.2.3
+pillow==10.4.0
+protobuf==4.25.6
+pyarrow==19.0.1
+pydeck==0.9.1
+Pygments==2.19.1
+python-dateutil==2.9.0.post0
+python-dotenv==1.1.0
+pytz==2025.1
+PyYAML==6.0.2
+referencing==0.36.2
+regex==2024.11.6
+requests==2.31.0
+rich==13.9.4
+rpds-py==0.23.1
+safetensors==0.5.3
+scikit-learn==1.6.1
+scipy==1.15.2
+six==1.17.0
+smmap==5.0.2
+streamlit==1.32.2
+tenacity==8.5.0
+textblob==0.19.0
+threadpoolctl==3.5.0
+tokenizers==0.19.1
+toml==0.10.2
+tornado==6.4.2
+tqdm==4.67.1
+transformers==4.40.0
+typing_extensions==4.12.2
+tzdata==2025.1
+urllib3==2.3.0
+watchdog==6.0.0