Upload 4 files

Dockerfile

@@ -0,0 +1,22 @@
+# Read the doc: https://huggingface.co/docs/hub/spaces-sdks-docker
+# you will also find guides on how best to write your Dockerfile
+
+FROM python:3.12
+
+RUN useradd -m -u 1000 user
+USER user
+ENV PATH="/home/user/.local/bin:$PATH"
+
+ENV VIRTUAL_ENV=/home/user/venv
+RUN python -m venv $VIRTUAL_ENV
+ENV PATH="$VIRTUAL_ENV/bin:$PATH"
+
+WORKDIR /app
+COPY --chown=user ./requirements.txt requirements.txt
+RUN pip install --no-cache-dir --upgrade pip
+RUN pip install --no-cache-dir uv
+RUN pip install --no-cache-dir chainlit
+RUN uv pip install langflow && langflow migration
+
+COPY --chown=user . /app
+CMD python3 -m chainlit run appAgents.py --host 0.0.0.0 --port 7860

appAgents.py

@@ -0,0 +1,24 @@
+import chainlit as cl
+
+from langflow.load import load_flow_from_json
+from langflow.processing.process import run_graph
+
+google_api_key = "AIzaSyAyGDo-S86WPrMce_vIfePN_mh2_68rJao"
+composio_api_key ="s6q0gx5v78ve5290dpdj8"
+
+TWEAKS = {
+  "ChatInput-Gbt07": {},
+  "ChatOutput-XrgG9": {},
+  "ComposioAPI-gmZ8j": {"api_key": composio_api_key},
+  "Agent-NB8hJ": {},
+  "GoogleGenerativeAIModel-SG7kV": {"api_key": google_api_key},
+  "Prompt-oe6ZL": {}
+}
+
+@cl.on_message
+async def main(message: cl.Message):
+    flow = load_flow_from_json("SimpleAgentFlow.json",tweaks=TWEAKS)
+    flow.session_id="session_1"
+    flow.user_id="user_1"
+    response = await run_graph(flow, input_value=message.content, input_type="chat", output_type="chat")
+    await cl.Message(response[0].outputs[0].results["message"].text).send()

requirements.txt

@@ -0,0 +1,2 @@
+langflow
+chainlit