changed

.idea/.gitignore

@@ -0,0 +1,3 @@
+# Default ignored files
+/shelf/
+/workspace.xml

.idea/AIML.iml

@@ -0,0 +1,9 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<module type="JAVA_MODULE" version="4">
+  <component name="NewModuleRootManager" inherit-compiler-output="true">
+    <exclude-output />
+    <content url="file://$MODULE_DIR$" />
+    <orderEntry type="inheritedJdk" />
+    <orderEntry type="sourceFolder" forTests="false" />
+  </component>
+</module>

.idea/misc.xml

@@ -0,0 +1,9 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="Black">
+    <option name="sdkName" value="Python 3.12" />
+  </component>
+  <component name="ProjectRootManager" version="2" languageLevel="JDK_20" project-jdk-name="Python 3.12" project-jdk-type="Python SDK">
+    <output url="file://$PROJECT_DIR$/out" />
+  </component>
+</project>

.idea/modules.xml

@@ -0,0 +1,8 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectModuleManager">
+    <modules>
+      <module fileurl="file://$PROJECT_DIR$/.idea/AIML.iml" filepath="$PROJECT_DIR$/.idea/AIML.iml" />
+    </modules>
+  </component>
+</project>

.idea/vcs.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="VcsDirectoryMappings">
+    <mapping directory="" vcs="Git" />
+  </component>
+</project>

Gradio/Dockerfile

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+FROM python:3.10
+
+WORKDIR /app
+COPY requirements.txt ./
+RUN pip install -r requirements.txt
+
+COPY ./demo.py ./gr_demo.py /app/
+
+CMD ["python", "-u", "demo.py"]

Gradio/README.md

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+# gradio-example
+
+This repository demonstrates the deployment of [Gradio](https://gradio.app) applications using [transformer models](https://huggingface.co/transformers/).
+
+It includes two examples: `demo.py` which employs transformer models, and `gr_demo.py`, the base gradio example from the [quickstart guide](https://gradio.app/quickstart/). To use a specific file, change the `demo.py` text in the `CMD ["python", "-u", "demo.py"]` command to the desired file.
+
+## Prerequisites
+
+- Docker
+
+## Usage
+
+1. Clone this repository: `git clone https://github.com/arora-r/gradio-example.git`
+1. Navigate to the repository directory: `cd gradio-example`
+1. Build the Docker image: `docker build -t gradio-example .`
+1. Run the Docker container: `docker run -p 8080:8080 gradio-example`
+1. Open Gradio in your web browser: [http://localhost:8080](http://localhost:8080)
+
+## Customization
+
+To use your own transformer models in the Gradio application, you can modify the `demo.py` file to import and utilize your model. Then, rebuild the Docker image and run the container as described above.
+
+## Acknowledgments
+
+This repository was inspired by the examples in the [Gradio](https://github.com/gradio-app/gradio) repository, found [here](https://github.com/gradio-app/gradio/tree/main/demo).

Gradio/demo.py

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+from transformers import pipeline
+import gradio as gr
+
+model = pipeline("text-generation", model="gpt2")
+
+def predict(prompt):
+    prediction = model(prompt)[0]["generated_text"]
+    return prediction
+
+demo = gr.Interface(fn = predict, 
+    inputs="text",
+    outputs="text")
+
+demo.launch(server_name="0.0.0.0", server_port=8080)

Gradio/gr_demo.py

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+import gradio as gr
+
+def greet(name):
+    return "Hello " + name + "!"
+
+demo = gr.Interface(fn=greet, inputs="text", outputs="text")
+
+demo.launch()

Gradio/requirements.txt

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+gradio
+transformers
+torch
+torchvision

requirements.txt

@@ -1 +0,0 @@
-huggingface_hub==0.25.2